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Identifying epileptic seizures through analysis of the electroencephalography (EEG) signal becomes a standard method for the diagnosis of epilepsy. Manual seizure identification on EEG by trained neurologists is time-consuming,…

机器学习 · 计算机科学 2019-06-07 X. Yao , X. Li , Q. Ye , Y. Huang , Q. Cheng , G. -Q. Zhang

Diffusion MRI measures of the human brain provide key insight into microstructural variations across individuals and into the impact of central nervous system diseases and disorders. One approach to extract information from diffusion…

医学物理 · 物理学 2022-01-19 Qianqian Yang , David C. Reutens , Viktor Vegh

Longitudinal observational patient data can be used to investigate the causal effects of time-varying treatments on time-to-event outcomes. Several methods have been developed for controlling for the time-dependent confounding that…

统计方法学 · 统计学 2021-10-08 Ruth H. Keogh , Jon Michael Gran , Shaun R. Seaman , Gwyneth Davies , Stijn Vansteelandt

Long-running clinical trials offer a unique opportunity to study disease progression and treatment response over time, enabling questions about how and when interventions alter patient trajectories. However, drawing causal conclusions in…

应用统计 · 统计学 2025-08-13 Emma Prevot , Dieter A. Häring , Thomas E. Nichols , Chris C. Holmes , Habib Ganjgahi

Clinical trials assessing neurological treatment are challenging due to the diversity of brain function, and the difficulty in quantifying it. Traditional treatment studies in epilepsy use seizure frequency as the primary outcome measure,…

应用统计 · 统计学 2025-12-02 Ian Miller , Ann Hyslop , Colin Decker

Target trial emulation (TTE) enables causal questions to be studied with observational data when randomized controlled trials (RCTs) are infeasible. Yet treatment-effect methods often address causal estimation, missingness, and temporal…

Epilepsy is one of the most common neurological diseases, characterized by transient and unprovoked events called epileptic seizures. Electroencephalogram (EEG) is an auxiliary method used to perform both the diagnosis and the monitoring of…

Magnetic Resonance Elastography (MRE) noninvasively maps brain biomechanics and is highly sensitive to alterations associated with aging and neurodegenerative disease. Most implementations use a single frequency or a narrow frequency band,…

Epilepsy is a prevalent neurological disorder marked by sudden, brief episodes of excessive neuronal activity caused by abnormal electrical discharges, which may lead to some mental disorders. Most existing deep learning methods for…

机器学习 · 计算机科学 2025-10-16 Zexin Wang , Lin Shi , Haoyu Wu , Junru Luo , Xiangzeng Kong , Jun Qi

Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clinicians need evidence on how medication exposures influence downstream risk. We constructed a fixed-window EHR cohort (90-day observation,…

机器学习 · 计算机科学 2026-04-28 Kalyani P. Pande , Evan Yang , Bryan Zhu , Sandeep K. Mallipattu , Alisa Yurovsky , Tengfei Ma

To simplify the quantification of time irreversibility, we employ order patterns instead of the raw multi-dimension vectors in time series, and considering the existence of forbidden permutation, we propose a subtraction-based parameter,…

医学物理 · 物理学 2019-02-08 Wenpo Yao , Wenli Yao , Jun Wang , Jiafei Dai

Objectives: To examine sex differences in the associations between vascular risk factors and 6-year changes in the volume of white matter hyperintensities (WMH), and between changes in WMH volumes and changes in cognitive performance, in a…

神经元与认知 · 定量生物学 2023-07-19 Abdullah Alqarni , Wei Wen , Ben C. P. Lam , Nicole Kochan , Henry Brodaty , Perminder S. Sachdev , Jiyang Jiang

The short-term sensitivity of a kilometer-long fiber-optic gyroscope is limited mainly by thermal phase noise and relative intensity noise. Increasing the phase modulation frequency decreases the thermal phase noise but not the relative…

光学 · 物理学 2022-12-26 Nobuyuki Takei , Martin Miranda , Yuki Miyazawa , Mikio Kozuma

The growing demand to analyse large and complex datasets has spurred the development of Symbolic Data Analysis as a promising approach to address contemporary data challenges. Amongst these, interval-valued data introduces new theoretical…

统计理论 · 数学 2025-08-12 M. Rosário Oliveira , Diogo Pinheiro , Lina Oliveira

Aims: This meta-analysis aimed to evaluate the diagnostic performance of echocardiographic parameters for cardiac amyloidosis (CA), with a focus on subtype stratification and comparisons with healthy controls. Methods and Results: A…

医学物理 · 物理学 2025-04-30 Zihang Zhang , Yunjie Chen , Yuanzhou Cao , Xinyi Xie , Kangming Ji , Chuang Yang , Lijun Qian

A new method to investigate anomalous diffusion in human brain is proposed. The method has been inspired by both the stretched-exponential model proposed by Hall and Barrick (HB) and DTI. Quantities extracted using HB method were able to…

医学物理 · 物理学 2010-04-13 S. De Santis , A. Gabrielli , M. Bozzali , B. Maraviglia , E. Macaluso , S. Capuani

Epilepsy is a common, chronic neurological disorder characterized by recurrent seizures caused by sudden bursts of abnormal electrical activity in the brain. Seizures can often be unpredictable, leading to uncertainty and anxiety for people…

The presence of elongations in active region (AR) polarities, called magnetic tongues, are mostly visible during their emergence phase. AR tilts have been measured thoroughly using long-term white-light (WL) databases, sometimes combined…

太阳与恒星天体物理 · 物理学 2020-05-27 M. Poisson , P. Démoulin , C. H. Mandrini , M. C. López Fuentes

Intra-physician prescribing variability, the probability that one physician issues discordant decisions for two patients deemed comparable on observed covariates, holds great impact in quality of care, safety and cost. However, there are no…